DOI:10.1111/j.1574-6968.2007.01045.x
Bibliographic record
Abstract
antimicrobial resistance; Typhimurium; parallel evolution; public health; bacteria. The increase in frequency of Salmonella enterica resistant to antibiotics in food-producing animals is of great concern to public health. Determining the rate at which different resistance phenotypes are generated and maintained in the environment is thus of great importance. The distribution and evolution of antibiotic resistance and multidrug-resistance in 362 Salmonella stains as part of a cross-sectional study of the Canadian swine industry were investigated. The susceptibility of all isolates to 12 antimicrobial agents was tested and the statistical and phylogenetic distribution of resistance among strains characterized via multi-locus sequence typing was studied to test the origin of multidrug-resistance in Salmonella. More than 25 % of all isolates were multidrug-resistant, with pre-dominance in serotype Typhimurium, a serotype of vital importance to public health. The strong associations between resistance phenotypes, which differ among serotypes and which is supported by the significant genetic distance between serotypes, was indicative of the independent acquisition of multidrug-resistance in at least two different serotypes, i.e. Typhimurium and Derby. The independent origin of multidrug-resistance in Salmonella indicates that strong selective pressures are present in the environment of the bacteria and that statistical and phylogenetic studies of antibiotic resistance are an essential part in the under-standing and the control of the epidemic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.954 | 0.942 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".